Smart Data Collective

APRIL 8, 2020

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. One of the most lucrative ways to do this is through data warehousing.

Data Warehouse 329

Data Warehouse Big Data Business Intelligence Business Intelligence 329

Smart Data Collective

DECEMBER 1, 2022

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. The Rise of Streaming Analytics.

Big Data 347

Big Data Artificial Intelligence Cloud Computing Healthcare 347

Smart Data Collective

AUGUST 30, 2022

Analytics technology is very important for modern business. Companies spent over $240 billion on big data analytics last year. There are many important applications of data analytics technology. Analytics Can Be Essential for Helping Companies with their Pricing Strategies. Value-Based Pricing.

Data Mining 321

Data Mining Data Analytics Data Analytics Real-time Data 321

Astera

FEBRUARY 7, 2024

Zero ETL is a data integration technique where data is transferred from source to destination without the need for a traditional ETL (Extract, Transform, Load) process. Zero – ETL simplifies data accessibility by enabling seamless querying across disparate data sources without necessitating extensive data movement.

Real-time Data 52

Real-time Data Cybersecurity Data Quality Monitoring 52

Smart Data Collective

APRIL 7, 2022

Few people anticipated that big data would have such a profound impact on the e-commerce sector. Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies.

E-Commerce 259

E-Commerce Supply Chain Retail Logistics 259

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. That’s equal to 44 zettabytes of data, or 44 trillion gigabytes.

Cloud Computing 278

Cloud Computing IBM Support Big Data Real-time Data 278

Smart Data Collective

MAY 19, 2021

Connected gadgets which utilize the same AI communication technology can be operated via one mobile application; otherwise, middleware and separate mobile apps are required. Back-end System for Data Acquisition, Storage, and Analytics. There are two types of smart home solutions you can build — a wireless or a wired one.

Artificial Intelligence 258

Artificial Intelligence Cloud Computing Real-time Data Data Analytics 258

Analysts Corner

JUNE 18, 2023

In today’s data-driven world, organizations increasingly rely on large volumes of data from various sources to make informed decisions. This article will provide an in-depth and up-to-date comparison of ETL and ELT, their advantages and disadvantages, and guidance for choosing the right data integration strategy in 2023.

Data Warehouse 130

Data Warehouse IBM Maintenance IBM Support Data Quality 130

BizAcuity

MAY 16, 2022

Fast food companies like Domino’s, McDonald’s and KFC collect massive amounts of data which includes customer data and other key business metrics for their own operations. Also, it is using customer data that they experiment and roll out new products every month. That was in the 1900’s.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

Whizlabs

APRIL 4, 2021

AWS Kinesis is one of the most popular data streaming and analytics solutions in the present. Data streaming is one of the most important requirements for businesses in the present times for various reasons. Secondly, data management infrastructures all over the world are slowly growing in size and complexity.

Real-time Data 64

Real-time Data Data Analytics Data Analytics Monitoring 64

BizAcuity

APRIL 19, 2019

Only, the data required to do this is not so easily available. So, how can organizations draw definite conclusions from varied sources of customer data and interpret them to help curate a positive change? Think about it, using advanced technologies, we can analyse the users’ behaviour, preferences, actions and so much more.

Data Mining 189

Data Mining Real-time Data Data Analytics Data Analytics 189

Smart Data Collective

JULY 10, 2019

Big data is changing the nature of healthcare. One of the biggest developments was the implementation of the Medical Information Mart for Intensive Care , which took data from 50,000 patients dating back to 2001. Big data will have an even more profound impact in the near future. Most of this data is still unprocessed.

Healthcare 173

Healthcare Big Data Pharmaceutical Digital 173

Cprime

FEBRUARY 6, 2024

– Key practices include embracing agile methodologies, fostering cross-functional collaboration, prioritizing modern management practices, investing in technical excellence, cultivating a data-driven culture, and encouraging ownership and accountability. Why is culture important in a product-centric operating model?

Agile 91

Agile Innovation Product Management Product Management 91

Data Pine

MARCH 11, 2020

As digital transformation evolves, and more businesses begin to harness the power of digital technologies, the rate at which we are creating data is rising by the second. As such, we have to find approaches to data analytics and business intelligence. Download our executive, pocket-sized guide to real time BI and analytics!

Business Intelligence 66

Business Intelligence Business Intelligence Real-time Data Retail 66

ElegantJ BI

NOVEMBER 8, 2016

In addition to its existing MOLAP architecture, and connection with MDX data sources like Microsoft® SSAS and SAP® BW cubes, ElegantJ BI now offers real time cubes to derive data for deep dive analytics in real time and make swift, confident decisions to benefit the enterprise.

Real-time Data 130

Real-time Data Data Analytics Data Analytics Business Intelligence 130

ElegantJ BI

NOVEMBER 8, 2016

In addition to its existing MOLAP architecture, and connection with MDX data sources like Microsoft® SSAS and SAP® BW cubes, ElegantJ BI now offers real time cubes to derive data for deep dive analytics in real time and make swift, confident decisions to benefit the enterprise.

Real-time Data 130

Real-time Data Data Analytics Data Analytics Business Intelligence 130

ElegantJ BI

NOVEMBER 8, 2016

In addition to its existing MOLAP architecture, and connection with MDX data sources like Microsoft® SSAS and SAP® BW cubes, ElegantJ BI now offers real time cubes to derive data for deep dive analytics in real time and make swift, confident decisions to benefit the enterprise.

Real-time Data 130

Real-time Data Data Analytics Data Analytics Business Intelligence 130

Domo

MARCH 23, 2022

That is the over-arching finding from a new report based on a survey of 441 people whose careers depend on navigating the data decision gap. 1 – The struggle (to become data-driven) is real. The problem is, few organizations commit to more than just capturing, storing, and having access to data.

Artificial Intelligence 98

Artificial Intelligence Digital Transformation Real-time Data Vision 98

Astera

OCTOBER 19, 2023

Data analysis demands precision, and at its core lies the vital role of data preparation tools. These tools serve as the cornerstone for ensuring your data is accurate, consistent, and reliable. Before embarking on your data analysis journey, it’s crucial to choose the right tool for the job. This was up 2.6%

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Cprime

APRIL 16, 2024

– Generative AI (Gen AI) is transforming the energy and materials sector by enhancing efficiency, driving innovation, and supporting sustainability efforts through advanced data analysis and predictive modeling. How does Gen AI improve predictive maintenance in the energy sector?

Innovation 52

Innovation Digital Government Vision 52

Smart Data Collective

JULY 22, 2019

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow. Get Real-Time Analysis.

Business Intelligence 197

Business Intelligence Business Intelligence Real-time Data Visualization 197

Smart Data Collective

SEPTEMBER 26, 2019

The big data market is expected to be worth $189 billion by the end of this year. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever.

Big Data 199

Big Data Banking Artificial Intelligence Cloud Computing 199

Sisense

OCTOBER 15, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. How industries can benefit from streaming data.

Supply Chain 98

Supply Chain Cloud Computing Data Quality Data Analytics 98

Whizlabs

APRIL 7, 2021

AWS Kinesis is the favorable choice for applications that use streaming data. Explore AWS kinesis data streams vs AWS kinesis data firehose right now! Amazon introduced AWS Kinesis as a highly available channel for communication between data producers and data consumers. An Overview of AWS Kinesis.

Real-time Data 88

Real-time Data Data Analytics Data Analytics 88

Data Pine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Argon Digital

JUNE 27, 2023

Accurate data entry, automated calculations, and standardized processes lead to improved data accuracy and reliability. Streamlined Decision-Making Process : With automation, organizations can gather, process, and analyze data faster and more accurately. Accounting : Accounting is another critical aspect of business operations.

Logistics 52

Logistics Supply Chain Financial Analysis Customer Experience 52

Actian

DECEMBER 19, 2018

To survive, companies must find ways to remove friction in their systems and business processes – leveraging real-time operational data and translating it into actionable insights that drive activities across the company. Competitors are looking at real-time data and making decisions.

Real-time Data 40

Real-time Data Logistics Customer Experience Customer Experience 40

Sisense

OCTOBER 29, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Data is the dealbreaker.

Artificial Intelligence 90

Artificial Intelligence Cybersecurity Data Analytics Data Analytics 90

Sisense

JULY 8, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices. What is Data Extraction?

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

GAVS Technology

SEPTEMBER 13, 2021

From the time a package is taken into one of its offices to the time of delivery and feedback, there’s a lot of data generated from systems and applications. Zomato is another stellar case study on how machine learning and AI data analytics monitoring tools can contribute to innovative thinking.

Innovation 52

Innovation Healthcare Monitoring Logistics 52

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Trends AI is already shaping the processes surrounding data warehousing in many ways.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Actian

FEBRUARY 6, 2020

In the next few years, it is projected that more than half of major new business systems will use real-time connected data and continuous intelligence to improve decision making. Stream data integration is the way you do that. The Exciting Challenge of Big Data. What is Stream Data Integration?

Data Warehouse 40

Data Warehouse Supply Chain Real-time Data Big Data 40

Data Pine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Healthcare 145

Healthcare Big Data Data Analytics Data Analytics 145

Whizlabs

DECEMBER 16, 2020

The exponential growth in the popularity and adoption of machine data in the recent decade is practically known everywhere. The primary reason for the growth in machine data focuses on the increasing number of machines in enterprises’ IT infrastructure and the rising implementation and adoption of IoT devices.

Big Data 91

Big Data Monitoring Visualization Real-time Data 91

Data Pine

JUNE 5, 2019

“It is a capital mistake to theorize before one has data.”– Data is all around us. Data has changed our lives in many ways, helping to improve the processes, initiatives, and innovations of organizations across sectors through the power of insight. Let’s kick things off by asking the question: what is a data dashboard?

Logistics 126

Logistics Visualization Data Visualization Digital 126

GAVS Technology

SEPTEMBER 14, 2021

AIOps modifies the existing solutions and uses the best AI auto-discovery and monitoring tools to source and identify relevant data. This data is then used by the companies to improve IT operations, promote business reliability, and improve customer experience by providing better products and services. Centralization of Diverse Data.

E-Commerce 40

E-Commerce Customer Experience Customer Experience Retail 40